Ron Mitchell

Summary — what happened and why it matters AI agents — autonomous software that can read, decide, and act across apps — moved from labs into real business use in 2023–24. Morgan tools like Copilot-style assistants, LangChain/agent frameworks, and dedicated agent platforms now let AI do more than generate text: they can pull data from […]

Quick summary – Autonomous AI agents — tools that can access systems, run tasks, and produce outcomes with little human direction — are no longer just demos. Vendors and enterprises are rolling out low-code agent platforms that plug into CRMs, ERPs, data warehouses, and chat systems. – For businesses this means faster reporting, automated customer

Short summary AI agents — software that can act for a person across apps, pull data, write responses, and trigger actions — moved from experiments to real business tools in 2024–25. Companies are using agent builders and integrations to automate sales outreach, generate timely reports, and handle routine service tasks without constant human supervision. Why

Brief story summary AI “agents” — software that can run tasks, talk to your systems, and act with minimal human prompts — are moving from experiments into real business use. Sales and operations teams are increasingly using agents to qualify leads, schedule meetings, draft proposals, and generate recurring reports. The result: faster response times, fewer

Summary Big vendors and startups are turning “AI agents” into real business tools — not just research demos. Agents are autonomous workflows that can read your systems, take multi-step actions, and report back. You’re already seeing them in sales assistants, automated reporting bots, and customer triage systems from major clouds and enterprise apps. Why this

A new wave of AI agents and low-code “agent” platforms (think AutoGPT-style workflows, LangChain builders, and vendor tools like Copilot Studio) is making it practical for businesses to automate complex tasks — not just simple chat responses. These agents can run multi-step processes: pull data from your CRM, draft personalized outreach, update records, and generate

Summary Major cloud vendors and model makers have pushed AI beyond chat: purpose-built AI agents can now act on your data, call tools, and complete multi-step tasks — from preparing weekly sales reports to routing support tickets and drafting personalized outreach. These “software agents” are getting safer, easier to connect to CRMs and databases, and

Quick summary AI agents — purpose-built, semi-autonomous tools that complete tasks end-to-end — have moved from labs into real business use. Over the last year, more vendors and platforms made it easier to create agents that connect to CRMs, calendars, data warehouses and reporting tools. That means teams can automate not just single tasks, but

What’s happening AI agents — software that can act across apps, pull data, make decisions, and complete tasks without constant human prompting — are moving fast from lab experiments into real business use. Companies are using agents to qualify leads, auto-fill proposals, run recurring analytics, summarize meetings, and trigger workflows across CRM, calendars, and finance

What happened (short summary) – Over the last year, “autonomous” AI agents — models that can take multi-step actions (read documents, update systems, send messages) — moved from lab experiments into real business workflows. – Companies are using these agents for lead triage, contract review, invoice processing, customer follow‑ups, and automated reporting. – The result: